Compare the Top AI Agent Builders that integrate with C# as of August 2025

This a list of AI Agent Builders that integrate with C#. Use the filters on the left to add additional filters for products that have integrations with C#. View the products that work with C# in the table below.

What are AI Agent Builders for C#?

AI agent builders are tools, platforms, or frameworks designed to create, train, and deploy intelligent virtual agents capable of performing tasks autonomously. These builders provide resources for natural language processing, decision-making algorithms, and machine learning, enabling agents to interact with users effectively. They often include user-friendly interfaces or APIs to customize behaviors, integrate with existing systems, and adapt to specific use cases. AI agent builders are widely used across industries, including customer service, healthcare, education, and entertainment, to enhance efficiency and user experience. By leveraging these tools, developers and businesses can rapidly create sophisticated agents tailored to their unique needs. Compare and read user reviews of the best AI Agent Builders for C# currently available using the table below. This list is updated regularly.

  • 1
    LM-Kit.NET
    LM-Kit.NET brings advanced AI to C# and VB.NET through an enterprise-grade architecture and an intuitive AI Agent Builder that lets developers design modular agents for text generation, translation, and context-aware decision making, with built-in runtime support that hides the underlying complexity so teams can prototype, deploy, and scale intelligent solutions quickly while keeping their software adaptable to evolving data and user needs.
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    Starting Price: Free (Community) or $1000/year
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  • 2
    Mistral AI

    Mistral AI

    Mistral AI

    Mistral AI is a pioneering artificial intelligence startup specializing in open-source generative AI. The company offers a range of customizable, enterprise-grade AI solutions deployable across various platforms, including on-premises, cloud, edge, and devices. Flagship products include "Le Chat," a multilingual AI assistant designed to enhance productivity in both personal and professional contexts, and "La Plateforme," a developer platform that enables the creation and deployment of AI-powered applications. Committed to transparency and innovation, Mistral AI positions itself as a leading independent AI lab, contributing significantly to open-source AI and policy development.
    Starting Price: Free
  • 3
    Cohere

    Cohere

    Cohere AI

    Cohere is an enterprise AI platform that enables developers and businesses to build powerful language-based applications. Specializing in large language models (LLMs), Cohere provides solutions for text generation, summarization, and semantic search. Their model offerings include the Command family for high-performance language tasks and Aya Expanse for multilingual applications across 23 languages. Focused on security and customization, Cohere allows flexible deployment across major cloud providers, private cloud environments, or on-premises setups to meet diverse enterprise needs. The company collaborates with industry leaders like Oracle and Salesforce to integrate generative AI into business applications, improving automation and customer engagement. Additionally, Cohere For AI, their research lab, advances machine learning through open-source projects and a global research community.
    Starting Price: Free
  • 4
    Devin

    Devin

    Cognition AI

    Devin is an AI-driven software development assistant designed to collaborate with engineering teams to automate and accelerate coding tasks. It helps with tasks like setting up repositories, writing code, debugging, and performing migrations, all while working autonomously or alongside human developers. Devin is capable of learning from examples, making it more efficient over time. Its use has led to significant time and cost savings in large-scale projects, as seen in its deployment at Nubank, where it delivered 8-12x faster migrations and reduced costs by over 20x. Devin is particularly useful in refactoring and automating repetitive engineering tasks.
    Starting Price: $500/month
  • 5
    Semantic Kernel
    Semantic Kernel is a lightweight, open-source development kit that lets you easily build AI agents and integrate the latest AI models into your C#, Python, or Java codebase. It serves as an efficient middleware that enables rapid delivery of enterprise-grade solutions. Microsoft and other Fortune 500 companies are already leveraging Semantic Kernel because it’s flexible, modular, and observable. Backed with security-enhancing capabilities like telemetry support, hooks, and filters you’ll feel confident you’re delivering responsible AI solutions at scale. Version 1.0+ support across C#, Python, and Java means it’s reliable, and committed to nonbreaking changes. Any existing chat-based APIs are easily expanded to support additional modalities like voice and video. Semantic Kernel was designed to be future-proof, easily connecting your code to the latest AI models evolving with the technology as it advances.
    Starting Price: Free
  • 6
    Dasha

    Dasha

    Dasha

    Dasha is a conversational AI-as-a-service platform that lets you embed realistic voice and text conversational capabilities into your apps or products. With a single integration, create smart conversational apps for web, desktop, mobile, IoT, and call centers. DashaScript is an event-driven declarative programming language used to design complex real-world conversations that pass a limited Turing test. Automate call center conversations, recreate the Google Duplex demo in under 400 lines of code or create a no-code GUI for your users that translates into DashaScript code. If it is connected to the internet and has access to a speaker/mic, it can run a Dasha application. Your conversational voice/chat apps use your existing infrastructure, including databases, external services (Airtable, Zendesk, TalkDesk, etc.), and business logic. Run conversations through anything. Feed your custom data into Dasha and consume results where they provide the most value.
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